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Dependence structure of the Korean stock market in high frequency data

Article ID Journal Published Year Pages File Type
10481601 Physica A: Statistical Mechanics and its Applications 2011 11 Pages PDF
Abstract
► The largest eigenvalue cannot indicate the market wide effect in high frequency data. ► Copula can be used to analyze the Epps effect. ► The sub-portfolio based on industry is not optimal in the market microstructure regime.
Keywords
Epps effectHigh frequency dataRandom matrix theory
Related Topics
Physical Sciences and Engineering Mathematics Mathematical Physics
Preview
Dependence structure of the Korean stock market in high frequency data
Authors
Min Jae Kim, Young Bin Kwak, Soo Yong Kim,
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Journal
Physica A: Statistical Mechanics and its Applications
Journal: Physica A: Statistical Mechanics and its Applications
Related Categories
Epps effect
High frequency data
Random matrix theory
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